A
  • Machine Learning
  • Python

Air quality is a critical concern in urban environments, impacting public health and quality of life. In order to keep track of the trend of air quality, it is especially important to forecast it accurately. The Air Quality Index (AQI) is used for reporting daily air quality. It tells you how clean or polluted your air is, and what associated health effects might be a concern for you. The daily average value of the mass concentration of PM2.5, PM10,SO2, NO2, CO, O3 was obtained for this study.By integrating meteorological factors, pollutant concentrations, and historical AQI
trends. This model offers a comprehensive and accurate forecast of AQI levels. The model not only improves the accuracy of short-term AQI predictions but also enhances our understanding of the complex interactions between various environmental factors affecting air quality, ultimately contributing to better-informed decision-making for pollution control and public health management. Air Quality Index (AQI) is the crucial foundation for measuring air quality, which reflects the influence of air quality on people’s health and life to a certain extent.

 

  • Air Quality Forecasting
  • Public Health Management